Palay and Corn Stocks Survey 2018
Philippines, 2018
Reference ID
PHL-PSA-PCSS-2018-v1.0
Producer(s)
Philippine Statistics Authority
Metadata
Created on
Jun 14, 2022
Last modified
Jun 14, 2022
Page views
17916
Identification
Palay and Corn Stocks Survey 2018
Name | Abbreviation |
---|---|
Philippines | PHL |
PHL-PSA-PCSS-2018-v1.0
The objective of the survey is to generate estimates on current stock of rice and corn grits in farming and non-farming households. The data generated from the survey seek to:
1. serve as input in the analysis of the seasonal trends and variations in the supply of rice and corn;
2. serve as input for forecasting future supply and demand of palay and corn; and
3. assist policy-makers in the formulation, implementation and administration of agricultural economic programs.
1. serve as input in the analysis of the seasonal trends and variations in the supply of rice and corn;
2. serve as input for forecasting future supply and demand of palay and corn; and
3. assist policy-makers in the formulation, implementation and administration of agricultural economic programs.
Sample survey data [ssd]
The survey has farming and non-farming households as units of analysis.
Version
V1.0: Division edits for preliminary estimates computation (raw, first output)
2021-09-10
Scope
Topic | Vocabulary | URI |
---|---|---|
Agriculture, forestry, fisheries | Philippine Statistics Authority |
Coverage
The survey covers seventy-nine (79) provinces (including Dinagat Islands), two (2) chartered cities (Davao City and Zamboanga City), and National Capital Region National
Barangay
The survey has farming and non-farming households as units of analysis.
Farming and non-farming households
Producers and sponsors
Name | Abbreviation | Role |
---|---|---|
Government of the Philippines | GOP | Full funding |
Name | Affiliation | Role | |
---|---|---|---|
National Food Authority | Department of Agriculture | Partner agency/Stakeholder |
Sampling
The PCSS is a sub-sample of the Palay and Corn Production Survey (PCPS) which employs a two-stage stratified sampling design with the barangay as the primary sampling unit (psu) and the household as the secondary sampling unit (ssu). One replicate of the PPS and CPS sample barangays is selected to represent PCSS sample barangays since PPS and CPS covers only farming households, five (5) non-farming households are added to the PCCS sample households in the sample barangays of the province. Non-farming households are selected through simple random sampling.
The PCSS in NCR covers only non-farming households with two-stage sampling design. Two (2) sample barangays are chosen in each city/municipality with five (5) sample households. Selection of samples is done using simple random sampling.
The PCSS in NCR covers only non-farming households with two-stage sampling design. Two (2) sample barangays are chosen in each city/municipality with five (5) sample households. Selection of samples is done using simple random sampling.
The expansion factor of the PCSS is based on the number of farming and non-farming households from the 1991 Census on Agriculture and Fishery (CAF) which is updated in July every year using the projected midyear population estimate.
Data Collection
Start | End | Cycle |
---|---|---|
2018-01-01 | 2018-01-04 | January |
2018-02-01 | 2018-02-04 | February |
2018-03-01 | 2018-03-04 | March |
2018-04-01 | 2018-04-04 | April |
2018-05-01 | 2018-05-04 | May |
2018-06-01 | 2018-06-04 | June |
2018-07-01 | 2018-07-04 | July |
2018-08-01 | 2018-08-04 | August |
2018-09-01 | 2018-09-04 | September |
2018-10-01 | 2018-10-04 | October |
2018-11-01 | 2018-11-04 | November |
2018-12-01 | 2018-12-04 | December |
Start | End | Cycle |
---|---|---|
2018-01-01 | 2018-01-01 | January |
2018-02-01 | 2018-02-01 | February |
2018-03-01 | 2018-03-01 | March |
2018-04-01 | 2018-04-01 | April |
2018-05-01 | 2018-05-01 | May |
2018-06-01 | 2018-06-01 | June |
2018-07-01 | 2018-07-01 | July |
2018-08-01 | 2018-08-01 | August |
2018-09-01 | 2018-09-01 | September |
2018-10-01 | 2018-10-01 | October |
2018-11-01 | 2018-11-01 | November |
2018-12-01 | 2018-12-01 | December |
Face-to-face [f2f]
Field supervision is undertaken by the Provincial Office (PO) staff in their respective municipalities assignments. The Provincial Statistics Officer (PSO) serves as overall supervisor in the province, while the Regional Director (RD) is the overall supervisor in the region. Central Office technical staff also make field visiits in selected provinces to observe field opeations.
Among the responsibilities of the supervisors are to conduct briefing of SRs prior to data collection. make spotchecking and backchecking activities during and after data collection, edit accomplished returns, address problems encountered by the SRs under his/her supervision and report to Central Office the significant findings that may contribute to the analysis of tthe survey results.
Duties and responsiblities of the supervisors are described in the Manual of Operations for Supervisors.
Among the responsibilities of the supervisors are to conduct briefing of SRs prior to data collection. make spotchecking and backchecking activities during and after data collection, edit accomplished returns, address problems encountered by the SRs under his/her supervision and report to Central Office the significant findings that may contribute to the analysis of tthe survey results.
Duties and responsiblities of the supervisors are described in the Manual of Operations for Supervisors.
The survey uses a structured questionnaire referred to as PCSS Form 1 (Provincial Questionnaire) and PCSS Form 2 ( NCR Questionnaire). The questionnaire has two major parts- palay and corn which are further sub divided by product type: for palay (palay and rice) and for corn (corn grain and corn grits).The same questionnaire is used in the monthly surveys.
Name | Abbreviation | Affiliation |
---|---|---|
Philippine Statistics Authority | PSA | National Economic and Development Authority |
Data Processing
Data editing is done in two stages, namely: manual and computerized editing. The completed survey returns are manually edited prior to data encoding. Manual editing involves the checking data items based on the pre-set criteria, data ranges. completeness and consistency with other data items in the questionnaire. Then, coding of alpha-numeric codes for questionnaire items to facility data entry.
Data are processed in the PCSS data processing system developed using the Census Survey Processsing System (CSPro). Data processing is decentralized at the Provincial Offices. The processing activities include encoding of the data from the edited survey returns, computerized editing, completeness check and generation of output tables.
To validate, the encoded data are subjected to computerized editing using the customized editing program. The editing program take into consideration the validation cretiria such as validity, completeness and consistensy with other data items. This activity is done to capture invalid entries that were overlooked during manual editing.
An error listing is produces as outputt of the process. The error reflected in said list are verified vis-a-vis the questionnaires. The data files are updated based on the corrections made. Editing and updating are performed iteratively until a clean, error-free data file is generated.
Completeness check is done to compare the data file against the list of samples to check if the samples have been completely surveyed. This activity is done after clean, error-free data file is generated .
Data are processed in the PCSS data processing system developed using the Census Survey Processsing System (CSPro). Data processing is decentralized at the Provincial Offices. The processing activities include encoding of the data from the edited survey returns, computerized editing, completeness check and generation of output tables.
To validate, the encoded data are subjected to computerized editing using the customized editing program. The editing program take into consideration the validation cretiria such as validity, completeness and consistensy with other data items. This activity is done to capture invalid entries that were overlooked during manual editing.
An error listing is produces as outputt of the process. The error reflected in said list are verified vis-a-vis the questionnaires. The data files are updated based on the corrections made. Editing and updating are performed iteratively until a clean, error-free data file is generated.
Completeness check is done to compare the data file against the list of samples to check if the samples have been completely surveyed. This activity is done after clean, error-free data file is generated .
Data Appraisal
Review is being done based on time series data and is further validated with concerned RDs and PSOs.
Data access
Name | Affiliation | URI | |
---|---|---|---|
National Statistician | Philippine Statistics Authority | info@psa.gov.ph | www.psa.gov.ph |
contacts
Name | Affiliation | URI | |
---|---|---|---|
Crops Statistics Division | Philippine Statistics Authority | csd.staff@psa.gov.ph | http://psa.gov.ph |
Knowledge Management and Communications Division | Philippine Statistics Authority | kmcd.staff@psa.gov.ph | http://psa.gov.ph |